922 resultados para Analogical reasoning
Resumo:
In recent years, there has been an increasing interest in learning a distributed representation of word sense. Traditional context clustering based models usually require careful tuning of model parameters, and typically perform worse on infrequent word senses. This paper presents a novel approach which addresses these limitations by first initializing the word sense embeddings through learning sentence-level embeddings from WordNet glosses using a convolutional neural networks. The initialized word sense embeddings are used by a context clustering based model to generate the distributed representations of word senses. Our learned representations outperform the publicly available embeddings on half of the metrics in the word similarity task, 6 out of 13 sub tasks in the analogical reasoning task, and gives the best overall accuracy in the word sense effect classification task, which shows the effectiveness of our proposed distributed distribution learning model.
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This study examined the press coverage and audience understanding of the costs and benefits of stem cell research/treatment in Hungary. A content analysis of five newspapers and a focus group study was conducted. The way participants talked about the costs and benefits in many aspects echoed the dominant framing of the issue in the press (medical benefits = main benefit, high expense of treatment = dominant negative aspect). Even though participants applied analogical reasoning to formulate some risks that were missing from the reporting on stem cells, many gaps of the media coverage were echoed in gaps in lay discussions.
"Tradizione romanistica" e principi generali del diritto: Il dibattito italiano tra Otto e Novecento
Resumo:
Il presente lavoro verte sul ruolo svolto dal diritto romano e – più in generale – dalla “tradizione romanistica” all'interno del sistema giuridico nazionale posteriore alla codificazione civile del 1865. L'attenzione è rivolta principalmente all'art. 3 delle Disposizioni preliminari del Codice del 1865 con il suo riferimento ai 'principi generali del diritto' e, dunque, all'analogia iuris. La prima parte dello studio si concentra sull'analisi di alcune voci della scienza giuridica italiana tra Otto e Novecento, nei loro diversi approcci – laddove riscontrabili – rispetto allo studio e al recupero (in chiave moderna) del diritto romano. La seconda parte è invece dedicata all'esame della prassi giudiziaria e, più specificamente, delle Corti di Cassazione. In questa fase si persegue un duplice obiettivo: da un lato, verificare se, ed eventualmente in che misura, il diritto romano possa ancora svolgere un ruolo nella (moderna) giurisprudenza di legittimità; dall'altro, valutare la concreta possibilità, prospettata da una parte della scienza giuridica, di ricorrere in Cassazione per impugnare una sentenza asseritamente contraria ai principi generali del diritto sanciti dall'art. 3 co. 2 delle Preleggi. L'analisi prende dunque le mosse dal contenuto delle singole decisioni della Cassazione, per poi passare all'esegesi dei frammenti di volta in volta richiamati; infine, si concluderà con un'operazione di sintesi volta a valutare, per ciascun caso, la coerenza (giuridica) del ragionamento analogico.
Resumo:
Background: Continuing education courses related to critical thinking and clinical reasoning are needed to improve the accuracy of diagnosis. Method: This study evaluated a 4-day, 16-hour continuing education course conducted in Brazil. Thirty-nine nurses completed a pretest and a posttest consisting of two written case studies designed to measure the accuracy of nurses` diagnoses. Results: There were significant differences in accuracy from pretest to posttest for case 1 (p = .008) and case 2 (p = .042) and overall (p = .001). Conclusion: Continuing education courses should be implemented to improve the accuracy of nurses` diagnoses. J Contin Educ Nurs 2009;40(3):121-127.
Resumo:
A combination of deductive reasoning, clustering, and inductive learning is given as an example of a hybrid system for exploratory data analysis. Visualization is replaced by a dialogue with the data.
Resumo:
Substance-dependence is highly associated with executive cognitive function (ECF) impairments. However. considering that it is difficult to assess ECF clinically, the aim of the present study was to examine the feasibility of a brief neuropsychological tool (the Frontal Assessment Battery FAB) to detect specific ECF impairments in a sample of substance-dependent individuals (SDI). Sixty-two subjects participated in this study. Thirty DSM-IV-diagnosed SDI, after 2 weeks of abstinence, and 32 healthy individuals (control group) were evaluated with FAD and other ECF-related tasks: digits forward (DF), digits backward (DB), Stroop Color Word Test (SCWT), and Wisconsin Card Sorting Test (WCST). SDI did not differ from the control group on sociodemographic variables or IQ. However, SDI performed below the controls in OF, DB, and FAB. The SDI were cognitively impaired in 3 of the 6 cognitive domains assessed by the FAB: abstract reasoning, motor programming, and cognitive flexibility. The FAB correlated with DF, SCWT, and WCST. In addition, some neuropsychological measures were correlated with the amount of alcohol, cannabis, and cocaine use. In conclusion, SDI performed more poorly than the comparison group on the FAB and the FAB`s results were associated with other ECF-related tasks. The results suggested a negative impact of alcohol, cannabis, and cocaine use on the ECF. The FAB may be useful in assisting professionals as an instrument to screen for ECF-related deficits in SDI. (C) 2010 Elsevier Ltd. All rights reserved.
Resumo:
It is common for a real-time system to contain a nonterminating process monitoring an input and controlling an output. Hence, a real-time program development method needs to support nonterminating repetitions. In this paper we develop a general proof rule for reasoning about possibly nonterminating repetitions. The rule makes use of a Floyd-Hoare-style loop invariant that is maintained by each iteration of the repetition, a Jones-style relation between the pre- and post-states on each iteration, and a deadline specifying an upper bound on the starting time of each iteration. The general rule is proved correct with respect to a predicative semantics. In the case of a terminating repetition the rule reduces to the standard rule extended to handle real time. Other special cases include repetitions whose bodies are guaranteed to terminate, nonterminating repetitions with the constant true as a guard, and repetitions whose termination is guaranteed by the inclusion of a fixed deadline. (C) 2002 Elsevier Science B.V. All rights reserved.
Resumo:
The aim of this study was to develop and trial a method to monitor the evolution of clinical reasoning in a PBL curriculum that is suitable for use in a large medical school. Termed Clinical Reasoning Problems (CRPs), it is based on the notion that clinical reasoning is dependent on the identification and correct interpretation of certain critical clinical features. Each problem consists of a clinical scenario comprising presentation, history and physical examination. Based on this information, subjects are asked to nominate the two most likely diagnoses and to list the clinical features that they considered in formulating their diagnoses, indicating whether these features supported or opposed the nominated diagnoses. Students at different levels of medical training completed a set of 10 CRPs as well as the Diagnostic Thinking Inventory, a self-reporting questionnaire designed to assess reasoning style. Responses were scored against those of a reference group of general practitioners. Results indicate that the CRPs are an easily administered, reliable and valid assessment of clinical reasoning, able to successfully monitor its development throughout medical training. Consequently, they can be employed to assess clinical reasoning skill in individual students and to evaluate the success of undergraduate medical schools in providing effective tuition in clinical reasoning.
Resumo:
Graphical user interfaces (GUIs) make software easy to use by providing the user with visual controls. Therefore, correctness of GUI's code is essential to the correct execution of the overall software. Models can help in the evaluation of interactive applications by allowing designers to concentrate on its more important aspects. This paper presents a generic model for language-independent reverse engineering of graphical user interface based applications, and we explore the integration of model-based testing techniques in our approach, thus allowing us to perform fault detection. A prototype tool has been constructed, which is already capable of deriving and testing a user interface behavioral model of applications written in Java/Swing.